Senior LLM Application Engineer

Summary

Join GitLaw, a company simplifying legal access through innovative technology, and become our LLM Application Engineer. You will build chatbots using cutting-edge LLM technologies, develop AI-assisted document editing features, and construct RAG pipelines. Collaboration with product managers, designers, and engineers in an Agile environment is key. This role requires strong technical skills in NLP, experience with chatbot frameworks, and a solid understanding of ML. We offer a competitive salary, flexible hours, remote work options, and opportunities for professional growth within a collaborative team.

Requirements

• Knowledge of TypeScript or Python
• Solid understanding of NLP fundamentals
• Experience of working with of Vector Databases
• Experience of building RAG pipelines
• Practical experience with modern chatbot frameworks and libraries (e.g., LangChain , LlamaIndex )
• Experience fine-tuning or training NLP/LLM models
• Understanding of CI/CD , testing frameworks , and version control (e.g., Git )
• Problem-solving skills and attention to detail
• Good communication and teamwork
• Proactive and eager to learn
• Upper Intermediate English level
• Degree in Computer Science , Engineering , or equivalent, or equivalent experience
• 5+ years of experience in software development and ML

Responsibilities

• Develop ChatBot using modern state of the art technologies around LLM
• Building Ai Assisted document editing
• Building RAG pipelines
• Work with custom ML models for various of NLP tasks
• Work with product managers, designers, and engineers in an Agile environment
• Write clean, maintainable, and documented code
• Conduct code reviews and give constructive feedback
• Keep up with new technologies and bring fresh ideas

Preferred Qualifications

• Experience of training custom NLP models (for classification)
• Experience with Open-source LLMs (e.g., Mistral, LLaMA family)
• Building ML pipelines
• Experience with Google Cloud
• Familiarity with Docker and Kubernetes
• Experience with Agile/Scrum
• Familiarity with AI tools for code assistance

Benefits

• Competitive salary and bonuses
• Flexible hours and remote work
• Opportunities for growth and skill development
• A collaborative, inclusive, and innovative team culture